Big Data Disruptions Can Be Tamed with Enterprise Architecture - Slide 2

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Impact: Big data enables decision makers to spot patterns quickly across different data types, but requires a data-savvy business strategy to achieve competitive advantage.

Enterprise architects should educate leaders about potential big data opportunities now readily available through start-small, cost-effective analytics and pattern recognition tools and techniques, but also explain the risk factors (such as data privacy, regulatory and legal challenges). Practitioners should also explore the increasing number of public datasets now available through open APIs, and use these for sentiment analysis (e.g., mining social media feeds), location-based services (using publicly available telemetry data) or to design context-aware applications.

Enterprise architecture (EA) practitioners have a major role in ensuring their organizations maximize the business opportunities posed by big data, according to Gartner, Inc.

Big data makes organizations smarter and more productive by enabling people to harness diverse data types previously unavailable and to find previously unseen opportunities. However, Gartner analysts said big data poses big challenges as well — and that's where enterprise architects can help. As navigators of strategic change, the task for EA practitioners is to chart the right course for big data across the most critical dimensions of the organization: business, culture, talent and technology.

“Traditional approaches to EA are significantly impacted by big data,” said David Newman, research vice president at Gartner. “For the EA practitioner, the balance shifts from a focus on optimization and standardization within the organization, to lightweight approaches that focus on harmonization and externalization across the broader enterprise ecosystem. Big data disrupts traditional information architectures — from a focus on data warehousing (data storage and compression) toward data pooling (flows, links and information shareability). In the age of big data, the task for the EA practitioner is clear: Design business outcomes that exploit big data opportunities inside and outside the organization.

Gartner has identified four critical impacts of big data and how enterprise architects can address these issues.

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